amélioration graph

Projet V2 Esthetique

This interactive network visualization displays the connections between a selected artist and their associated musical artists, sourced from the wasabi.i3s.unice.fr API. The code uses D3.js v4's force-directed simulation (`d3.forceSimulation`, `d3.forceLink`, `d3.forceManyBody`) to position nodes, with SVG circles representing artists and lines showing associations. Hovering over a node reveals a tooltip with the artist's name and record label, while clicking triggers an additional function.

82% match

V2 network

This network visualization displays an artist's collaborations and their relative popularity, using node size and labels to show each artist's number of Deezer fans. The graph is built by querying the wasabi.i3s.unice.fr API to fetch an artist's data, then processing their albums and songs to find co-writers, who are then converted into nodes and links. The visualization uses D3's force simulation (`d3.forceSimulation`), force-directed layout (`d3.forceLink`, `d3.forceManyBody`), and drag interaction (`d3.drag`), rendered as SVG.

BBaptisteJarry

81% match

Projet V2 OK

This example visualizes a network of associated musical artists using a force-directed graph. It shows a central artist node connected to related artists, with circles colored and sized uniformly, and hover tooltips displaying the artist’s name and record labels. The code fetches artist data from the Wasabi API, processes associated artists, and uses D3 v4’s `d3.forceSimulation`, `d3.forceLink`, `d3.forceManyBody`, and `d3.forceCenter` to position nodes and links dynamically. The visualization is rendered as SVG with interactive mouseover and mouseleave events.

81% match

Projet V2 Interaction

This interactive network visualization maps connections between a musical artist and their associated artists, using data from the Wasabi API. It fetches artist data and their record labels, then renders a force-directed graph with D3. The visualization uses `d3.forceSimulation` with `forceLink`, `forceManyBody`, and `forceCenter` forces to position nodes, and supports clicking a node to reload the network for that artist. Tooltips display artist names and labels on mouseover, while SVG circles and lines represent the dynamic graph structure.

81% match

Projet V OK

This example builds an interactive network visualization of a musical artist and their associated artists, using data fetched from the Wasabi API. The code imports D3 functions like `select` and `csv`, and relies on `d3.forceSimulation` with `forceLink`, `forceManyBody`, and `forceCenter` to position the nodes. Hovering over a circle triggers a tooltip that displays the artist’s name and record labels. The SVG rendering shows nodes as fixed-size circles connected by gray links, with the main artist distinguished by a larger label in the data.

Projet_test2

This example shows a network of music artists and their associations, using a force-directed graph layout to reveal clusters of related performers. The visualization encodes connections through links and nodes, with the ability to hover and search for a specific artist. The code relies on `d3.forceSimulation` with `d3.forceLink` and `d3.forceManyBody` to compute the layout, and uses custom SVG elements for nodes and links. Data is loaded from two CSV files, `recommandations.csv` and `artists_tags_count.csv`, with node size reflecting artist popularity and a tooltip displaying tag information.

MMelanieSalignat

Réseau des artistes associés

This visualization shows a network of associated artists, dynamically updating based on user selection from a dropdown menu. It uses D3.js v4 with a force-directed graph (d3.forceSimulation, d3.forceLink) to position nodes and links, rendered as SVG circles and lines. Data is fetched via the Fetch API from the Wasabi API, while initial node-link data comes from a GitHub-hosted JSON file. The dropdown options are imported from a local ES6 module.

Projet 2

This visualization shows a force-directed network of music artists and their associations, mapping relationships derived from an association-rule mining dataset where nodes represent artists and links indicate co-occurrence strength. The graph uses `d3.forceSimulation` with collision and link forces to position nodes, with circle size encoding node degree and line opacity reflecting link weight. Hovering a node highlights its connections, and the code includes an autocomplete search feature that filters the network. Data is loaded from CSV files containing artist tags and recommendation pairs, rendered as SVG elements with tooltips for interactivity.

MMelanieSalignat